Research & Innovation
A proficient Python-centric Machine Learning Engineer and Researcher specializing in Computer Vision, Deep Learning, and Algorithmic Optimization. Demonstrates a strong ability to architect clean, modular code for complex prototypes—ranging from semantic segmentation to VLM integrations—though projects often prioritize experimental velocity over production-grade testing rigor.
The score reflects a strong 'Research & Innovation' profile where high marks in technical complexity (Algorithms, AI) are balanced by lower scores in production engineering (Testing, CI/CD). This is typical for developers focused on rapid prototyping and experimentation over long-term maintenance.
The profile contains 14 original repositories with consistent technology usage (Python/AI) and detailed code analysis available. The clear patterns in code quality and specific recurring gaps (testing) provide a very high-confidence view of the developer's current skill level.
Prioritizes exploration over polish
Semantic Segmentation on Cityscapes using Segmentation Models Pytorch
Translate objects in images with a click, get contextual sentences and hear their pronunciation.
Deep learning model for image colorization using U-Net++ with LAB color space input.
First place solution to the G-Research Quant Finance Challenge at ETH Zurich 2023
Bot for Telegram game LumberJack with highest score 1140! ChopBot: He Came. He Saw. He Chopped.